Statistical Methods in Health Information Management I

At the end of the course, the students should be able to: 1. explain the entire concept of index number and be able to apply it; 2. extensively discuss correlation analysis, its uses, types, nature and meaning; 3. explain correlation coefficient, coefficient of determination meaning and interpretation with reference to simple correlation, partial correlation and multiple correlations; 4. mathematically express regression analysis (its meaning and types); 5. extensively explain time analysis (meaning, concepts, methods of measuring trend and methods of determining seasonal indices); 6. describe probability; definition, measurement, permutations and combinations, distribution. mathematical expectations and their applications in health information management; 7. explain estimation and significance testing; 8. define confidence interval; and 9. effectively describe hypothesis, its error, level of significance and test concerning population means and proportion including small and large samples.

Index numbers: meaning and uses of index numbers, problems of construction index numbers, un-weighted index- simple aggregate index, mean of price relatives. Weighted index numbers – use of Laspeyre, Paasche, Fisher Ideal, Marshal Edgeworth. Correlation analysis: meaning of correlation, types of correlation (simple, partial and multiple correlation), nature of correlation (positive, zero and negative) meaning of correlation coefficient and its determination and interpretation with reference to simple correlation, partial correlation and multiple correlation. Spearman’s and Kendall Tau Rank Correlation Coefficient, Spearman’s Product Moment Correlation Coefficient. Coefficient of determination (meaning and interpretation) Regression analysis: meaning of regression, types of regression simple, multiple and exponential regression. Simple or linear regression, exponential regression, multiple regression and coefficient of determination. Time analysis: meaning of time series, basic component, methods of measuring trend (graphical, moving averages, least squares, semi- averages, method for determining seasonal indices (average percentage, moving averages link relative, ratio trend and smoothening. Probability: definition of probability, measurement (addition and multiplication laws applied to mutually exclusive, independent and conditional events) mathematical expectation, permutations and combinations, probability distribution – binomial, hyper geometric, multinomial, Poisson, normal and their applications in health information management. Estimate and significance testing. Define confidence interval, confidence interval for population mean and proportion based on large and small samples. Meaning of hypothesis, type I and type II error, level of significance, test concerning population means and proportions including small and large samples.